Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.704  0.096  0.1212  0.478  0.428  0.44
Anderszewski 2003   61  0.4888  0.0074  0.0377  0.0352  0.0476  0.03
Ashkenazy 1981   28  0.6551  0.0031  0.0617  0.4347  0.0536  0.15
Bacha 2000   15  0.7026  0.0125  0.0725  0.3513  0.4512  0.40
Badura 1965   70  0.4467  0.0050  0.0460  0.0440  0.1549  0.08
Barbosa 1983   69  0.4571  0.0033  0.0543  0.1548  0.0545  0.09
Biret 1990   12  0.7325  0.0123  0.0614  0.4634  0.1825  0.29
Blet 2003   38  0.5953  0.0035  0.0641  0.1845  0.0939  0.13
Block 1995   19  0.688  0.0319  0.0822  0.389  0.3813  0.38
Blumental 1952   80  0.3628  0.0129  0.0737  0.2245  0.0840  0.13
Boshniakovich 1969   27  0.6511  0.0216  0.0923  0.3817  0.3216  0.35
Brailowsky 1960   29  0.6529  0.0028  0.0631  0.2727  0.2827  0.27
Bunin 1987   63  0.4755  0.0082  0.0455  0.0475  0.0382  0.03
Bunin 1987b   62  0.4785  0.0081  0.0454  0.0475  0.0373  0.03
Chiu 1999   41  0.5842  0.0024  0.0619  0.4215  0.4210  0.42
Cohen 1997   67  0.4514  0.0145  0.0645  0.1224  0.2934  0.19
Cortot 1951   55  0.5238  0.0055  0.0452  0.0460  0.0565  0.04
Csalog 1996   65  0.477  0.0484  0.0367  0.0354  0.0663  0.04
Czerny 1949   39  0.5833  0.0013  0.1124  0.3639  0.1929  0.26
Czerny 1990   21  0.686  0.0411  0.1015  0.4430  0.2322  0.32
Duchoud 2007   37  0.5949  0.0032  0.0639  0.2045  0.1037  0.14
Ezaki 2006   10  0.7318  0.0110  0.107  0.5419  0.329  0.42
Falvay 1989   22  0.6754  0.0037  0.0733  0.2645  0.0738  0.13
Farrell 1958   34  0.6317  0.0126  0.0738  0.2036  0.1335  0.16
Ferenczy 1958   74  0.4277  0.0087  0.0376  0.0380  0.0288  0.02
Fliere 1977   9  0.7312  0.0118  0.1110  0.5130  0.2020  0.32
Fou 1978   26  0.6620  0.0122  0.0918  0.4236  0.2817  0.34
Francois 1956   35  0.6232  0.0012  0.1120  0.4218  0.3115  0.36
Friedman 1923   88  0.2889  0.0067  0.0378  0.0317  0.4243  0.11
Friedman 1923b   87  0.2880  0.0066  0.0281  0.0216  0.4246  0.09
Friedman 1930   76  0.3860  0.0049  0.0453  0.0432  0.2444  0.10
Garcia 2007   81  0.3364  0.0063  0.0282  0.0269  0.0390  0.02
Garcia 2007b   86  0.2973  0.0062  0.0372  0.0330  0.1553  0.07
Gierzod 1998   11  0.7324  0.0115  0.098  0.5414  0.3211  0.42
Gornostaeva 1994   1  0.821  0.231  0.232  0.673  0.553  0.61
Groot 1988   20  0.6845  0.0040  0.0736  0.2450  0.0542  0.11
Harasiewicz 1955   64  0.4758  0.0041  0.0840  0.1956  0.0447  0.09
Hatto 1993   84  0.3230  0.0077  0.0447  0.0482  0.0283  0.03
Hatto 1997   78  0.3816  0.0148  0.0456  0.0473  0.0379  0.03
Horowitz 1949   59  0.5072  0.0079  0.0368  0.0385  0.0375  0.03
Indjic 1988   83  0.3270  0.0076  0.0379  0.0385  0.0287  0.02
Kapell 1951   44  0.5674  0.0070  0.0284  0.0272  0.0385  0.02
Kissin 1993   16  0.6981  0.0021  0.0721  0.4022  0.3214  0.36
Kushner 1989   5  0.7843  0.008  0.119  0.5110  0.426  0.46
Luisada 1991   33  0.6365  0.0030  0.0728  0.3133  0.2326  0.27
Lushtak 2004   49  0.5336  0.0053  0.0459  0.0473  0.0381  0.03
Malcuzynski 1961   2  0.8119  0.013  0.235  0.5913  0.444  0.51
Magaloff 1978   6  0.789  0.035  0.136  0.5915  0.415  0.49
Magin 1975   40  0.5886  0.0036  0.0832  0.2621  0.2530  0.25
Michalowski 1933   77  0.3823  0.0147  0.0448  0.0455  0.0561  0.04
Milkina 1970   18  0.6957  0.0038  0.0635  0.2537  0.1932  0.22
Mohovich 1999   13  0.7213  0.0114  0.1013  0.4628  0.2123  0.31
Moravec 1969   42  0.5866  0.0060  0.0365  0.0351  0.0467  0.03
Morozova 2008   57  0.5150  0.0043  0.0744  0.1364  0.0452  0.07
Neighaus 1950   3  0.803  0.112  0.211  0.683  0.571  0.62
Niedzielski 1931   79  0.3779  0.0088  0.0289  0.0279  0.0284  0.02
Ohlsson 1999   24  0.6621  0.0142  0.1134  0.2540  0.1433  0.19
Osinska 1989   7  0.762  0.124  0.194  0.643  0.582  0.61
Pachmann 1927   66  0.4741  0.0078  0.0362  0.0351  0.0560  0.04
Paderewski 1930   36  0.6037  0.0020  0.0830  0.2822  0.2628  0.27
Perlemuter 1992   56  0.5169  0.0059  0.0366  0.0366  0.0369  0.03
Pierdomenico 2008   30  0.6434  0.0027  0.0827  0.3325  0.2824  0.30
Poblocka 1999   25  0.6635  0.0044  0.0642  0.1665  0.0448  0.08
Rabcewiczowa 1932   32  0.6322  0.0134  0.0626  0.3426  0.3218  0.33
Rachmaninoff 1923   73  0.4382  0.0051  0.0451  0.0448  0.0458  0.04
Rangell 2001   8  0.745  0.049  0.1216  0.433  0.487  0.45
Richter 1976   75  0.4247  0.0086  0.0287  0.0268  0.0386  0.02
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   53  0.5261  0.0073  0.0283  0.0250  0.0580  0.03
Rosenthal 1931   60  0.4863  0.0075  0.0373  0.0345  0.1056  0.05
Rosenthal 1931b   58  0.5083  0.0069  0.0375  0.0354  0.0566  0.04
Rosenthal 1931c   43  0.5752  0.0052  0.0450  0.0449  0.0657  0.05
Rosenthal 1931d   46  0.5559  0.0061  0.0458  0.0431  0.1750  0.08
Rossi 2007   85  0.3068  0.0054  0.0461  0.0433  0.1251  0.07
Rubinstein 1939   89  0.1940  0.0089  0.0288  0.0272  0.0471  0.03
Rubinstein 1952   50  0.5346  0.0071  0.0380  0.0342  0.1254  0.06
Rubinstein 1966   48  0.5444  0.0072  0.0285  0.0261  0.0477  0.03
Schilhawsky 1960   68  0.4578  0.0083  0.0449  0.0483  0.0378  0.03
Shebanova 2002   17  0.6939  0.0039  0.0729  0.3024  0.3421  0.32
Smith 1975   23  0.6715  0.0117  0.1011  0.5042  0.1231  0.24
Sokolov 2002   45  0.5631  0.0056  0.0364  0.0371  0.0370  0.03
Sztompka 1959   47  0.5590  0.0064  0.0371  0.0347  0.0755  0.05
Tomsic 1995   31  0.6448  0.0046  0.0546  0.0559  0.0459  0.04
Uninsky 1932   72  0.4375  0.0065  0.0374  0.0351  0.0564  0.04
Uninsky 1971   52  0.5227  0.0157  0.0363  0.0347  0.0562  0.04
Wasowski 1980   71  0.4487  0.0085  0.0286  0.0256  0.0468  0.03
Zak 1937   51  0.5356  0.0068  0.0370  0.0363  0.0472  0.03
Zak 1951   54  0.5262  0.0058  0.0457  0.0481  0.0374  0.03
Average   4  0.7810  0.027  0.113  0.6438  0.1719  0.33
Random 1   90  -0.0584  0.0091  0.0191  0.0170  0.0391  0.02
Random 2   91  -0.1091  0.0090  0.0290  0.0264  0.0389  0.02
Random 3   82  0.3276  0.0080  0.0369  0.031  0.6041  0.13

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).